Reconstructions of Jupiter's magnetic field using physics informed neural networks.
Philip W. LivermoreLeyuan WuLongwei ChenSjoerd A. L. de RidderPublished in: CoRR (2024)
Keyphrases
- magnetic field
- neural network
- eddy current
- electromagnetic fields
- pattern recognition
- computer science
- image reconstruction
- resonant frequency
- working principle
- high quality
- fuzzy logic
- genetic algorithm
- back propagation
- fault diagnosis
- structure from motion
- neural nets
- artificial neural networks
- three dimensional
- real time
- search space
- multilayer perceptron
- phase transition
- fuzzy systems